The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
A Surface-Based Approach to Quantify Local Cortical Gyrification
Open accessAbstract
The high complexity of cortical convolutions in humans is very challenging both for engineers to measure and compare it, and for biologists and physicians to understand it. In this paper, we propose a surface-based method for the quantification of cortical gyrification. Our method uses accurate 3-D cortical reconstruction and computes local measurements of gyrification at thousands of points over the whole cortical surface. The potential of our method to identify and localize precisely gyral abnormalities is illustrated by a clinical study on a group of children affected by 22q11 Deletion Syndrome, compared to control individuals.
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Citations
Cites
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Cortical Surface-Based Analysis
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Cited by
Cortical thickness and central surface estimation
Dahnke, R., Yotter, R. A., & Gaser, C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.050 · Cited by 709
The development of gyrification in childhood and adolescence
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Li, G., Wang, L., Shi, F., Lyall, A. E., Lin, W., Gilmore, J. H., & Shen, D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3976-13.2014 · Cited by 251
Carmona, S., Martínez‐García, M., Paternina‐Die, M., Barba‐Müller, E., Wierenga, L. M., Alemán‐Gómez, Y., Pretus, C., Marcos‐Vidal, L., Beumala, L., Cortizo, R., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24513 · Cited by 95
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Metadata
- Authors
- Schaer, M., Cuadra, M. B., Tamarit, L., Lazeyras, F., Eliez, S., & Thiran, J.-P.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2008-02
- Volume
- 27
- Issue
- 2
- Pages
- 161-170
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2063176769
- Cited by
- 559
- References
- 70
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Schaer, M., Cuadra, M. B., Tamarit, L., Lazeyras, F., Eliez, S., & Thiran, J.-P. (2008). A Surface-Based Approach to Quantify Local Cortical Gyrification. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2007.903576
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
